nemotron-3.5-asr-streaming-0.6b

Nemotron 3.5 ASR h1, h2, h3, h4, h5, h6 { color: #76b900; /* NVIDIA green */ font-weight: 700; } hr { border: none; border-top: 1px solid #e5e7eb; margin: 2rem 0; } /* Improve list spacing */ ul, ol { margin-top: 0.5rem; margin-bottom: 0.5rem; } /* Badge alignment consistency */ img { display: inline; vertical-align: middle; }     [!Note] This model is the multilingual extension of nvidia/nemotron-speech-streaming-en-0.6b, adding language-ID prompt conditioning to support transcription across **40 language-locales** from a single model. Nemotron 3.5 ASR** is a multilingual, streaming Automatic Speech Recognition (ASR) model engineered to deliver high-quality multilingual transcription across both low-latency streaming and high-throughput batch workloads. Developed by NVIDIA, this 600M parameter model transcribes speech into text with native support for punctuation and capitalization, and offers runtime flexibility with configurable chunk sizes, including 80ms, 160ms, 320ms, 560ms, and 1120ms. By leveraging a state-of-the-art **Cache-Aware FastConformer-RNNT** architecture, the model eliminates redundant overlapping computations common in traditional "buffered" streaming. This allows it to process only new audio chunks while reusing cached encoder context, significantly improving computational efficiency and minimizing end-to-end delay without sacrificing accuracy. It was trained on a massive ASR dataset and is engineered to perform across diverse and challenging acoustic conditions. This model is ready for commercial use. Release Date Hugging Face [06/04/2026] via https://huggingface.co/nvidia/nemotron-3.5-asr-streaming-0.6b Why Choose Nemotron 3.5 ASR? 🌍 **Single Multilingual Model:** Transcribes 40 language-locales from one model through language-ID prompt conditioning, with optional automatic language detection. ⚡ **Native Streaming Architecture:** Cache-aware design enables efficient processing of continuous audio streams, designed and optimized for lo